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2. Computational hardness assumption - Wikipedia

   en.wikipedia.org/wiki/Computational_hardness...

   Instead, computer scientists rely on reductions to formally relate the hardness of a new or complicated problem to a computational hardness assumption about a problem that is better-understood. Computational hardness assumptions are of particular importance in cryptography .

3. Local search (optimization) - Wikipedia

   en.wikipedia.org/wiki/Local_search_(optimization)

   In computer science, local search is a heuristic method for solving computationally hard optimization problems. Local search can be used on problems that can be formulated as finding a solution that maximizes a criterion among a number of candidate solutions .

4. Combinatorial search - Wikipedia

   en.wikipedia.org/wiki/Combinatorial_search

   In computer science and artificial intelligence, combinatorial search studies search algorithms for solving instances of problems that are believed to be hard in general, by efficiently exploring the usually large solution space of these instances. Combinatorial search algorithms achieve this efficiency by reducing the effective size of the ...

5. Search algorithm - Wikipedia

   en.wikipedia.org/wiki/Search_algorithm

   Specific applications of search algorithms include: Problems in combinatorial optimization, such as: . The vehicle routing problem, a form of shortest path problem; The knapsack problem: Given a set of items, each with a weight and a value, determine the number of each item to include in a collection so that the total weight is less than or equal to a given limit and the total value is as ...

6. AOL Search - AOL Help

   help.aol.com/products/aol-search

   AOL Search FAQs Learn tips to yield better searches, like filtering your search by location, date range, or specific category with AOL Search FAQs. AOL.com · Nov 6, 2023

7. List of undecidable problems - Wikipedia

   en.wikipedia.org/wiki/List_of_undecidable_problems

   Many, if not most, undecidable problems in mathematics can be posed as word problems: determining when two distinct strings of symbols (encoding some mathematical concept or object) represent the same object or not. For undecidability in axiomatic mathematics, see List of statements undecidable in ZFC.